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Enable TensorPrimitives.Sigmoid vectorization for double #97846

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Merged
merged 1 commit into from
Feb 2, 2024
Merged

Enable TensorPrimitives.Sigmoid vectorization for double #97846

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2 changes: 1 addition & 1 deletion ...s/System.Numerics.Tensors/src/System/Numerics/Tensors/netcore/TensorPrimitives.netcore.cs
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Expand Up @@ -14722,7 +14722,7 @@ private static Vector512<T> ElementWiseSelect<T>(Vector512<T> mask, Vector512<T>
/// <summary>1 / (1 + T.Exp(-x))</summary>
internal readonly struct SigmoidOperator<T> : IUnaryOperator<T, T> where T : IExponentialFunctions<T>
{
public static bool Vectorizable => typeof(T) == typeof(float);
public static bool Vectorizable => ExpOperator<T>.Vectorizable;
public static T Invoke(T x) => T.One / (T.One + T.Exp(-x));
public static Vector128<T> Invoke(Vector128<T> x) => Vector128.Create(T.One) / (Vector128.Create(T.One) + ExpOperator<T>.Invoke(-x));
public static Vector256<T> Invoke(Vector256<T> x) => Vector256.Create(T.One) / (Vector256.Create(T.One) + ExpOperator<T>.Invoke(-x));
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